Conversational AI
  • Introduction
  • Getting started
    • Getting started
    • Adding content to your bot
    • Capture information with entities
    • Capture information with input validation
    • Reusing intents with context
    • Flow navigation with variables
    • Adding new users to your account
  • Understanding users
    • Natural Language Processing (NLP)
      • NLP threshold
      • NLP Import & Export
      • Train your bot with actual user messages
      • NLP Dashboard & NLP Improve
      • Synonym entities
      • System entities
      • Supported languages
      • Intent templates
    • Expression generator
    • Context
    • Multi-language bots
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    • Publishing your bot
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    • Settings
      • Variables
  • Integrations
    • API integration
      • Advanced API integrations
    • Chat message structure for API's
    • Retrieving data from Airtable (GET)
    • Sending data to Airtable (POST)
    • Human handover & live chat
      • #Interact
      • RingCentral Engage Digital
      • Genesys Cloud
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      • Sparkcentral (beta)
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    • Phone & voice
    • Workplace from Facebook
    • Sinch Conversation API (beta)
  • Tips & Best practices
    • How to NLP
    • Creating diverse expressions
    • Why is my bot not responding the way I want it to?
    • What makes a good chatbot?
    • How to recognize a returning bot user
    • Gathering user feedback
    • Using time in your chatbot
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  1. Understanding users
  2. Natural Language Processing (NLP)

System entities

Learn about automatically detected entities

PreviousSynonym entitiesNextSupported languages

Last updated 4 years ago

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System entities are entities that are extracted from the messages of users automatically. You can use these to enrich your conversations and data integrations without having to configure custom entities yourself.

You should not overwrite System Entities yourself - they will always be overwritten with the last detected value if any are available. Instead, copy the System Entity variable to a variable of your own choosing outside the sys or internal namespaces.

Supported system entities

Chatlayer.ai supports the following system entity types:

Variable name

Example input by user

Example result in session

sys.email

"ilovebots@chatlayer.ai"

sys: {email: 'ilovebots@chatlayer.ai'}

sys.phone_number

"+32 487 23 02 03"

sys: {phone_number: '(+32) 487230203'}

sys.ordinal

"5th"

sys: {ordinal: '5'}

sys.amount_of_money

"5 euro"

sys: {amount_of money: '5', amount_of_money_currency: 'EUR'}

sys.distance

"5 kilometers"

sys: {distance: '5', distance_unit: 'kilometre'}

sys.number

"eighty eight"

sys: {number: '88'}

sys.quantity

"3 liters"

sys: {volume: '3', volume_unit: 'litre'}

sys.temperature

"80C"

sys: {temperature '80', temperature_unit: 'celsius'

sys.time

"3 pm tomorrow"

sys: {time: '2020-12-25T15:00:00.000+00:00', time_grain: 'hour'}

sys.url

""

sys: {url: 'www.chatlayer.ai/jobs', url_domain: 'chatlayer.ai'}

sys.duration

"3 hours"

sys: {duration: '3', duration_unit: 'hour', duration_normalized: '10800', duration_normalized_unit: 'second'}

www.chatlayer.ai/jobs